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Evaluating Systemic Error Detection Methods using Synthetic Images


Jul 08, 2022
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Tulio Ribeiro, Ameet Talwalkar

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Use-Case-Grounded Simulations for Explanation Evaluation


Jun 05, 2022
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar

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Finding and Fixing Spurious Patterns with Explanations


Jun 03, 2021
Gregory Plumb, Marco Tulio Ribeiro, Ameet Talwalkar

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Sanity Simulations for Saliency Methods


May 13, 2021
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

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Towards Connecting Use Cases and Methods in Interpretable Machine Learning


Mar 10, 2021
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

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A Learning Theoretic Perspective on Local Explainability


Nov 02, 2020
Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar

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Explaining Groups of Points in Low-Dimensional Representations


Mar 18, 2020
Gregory Plumb, Jonathan Terhorst, Sriram Sankararaman, Ameet Talwalkar

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Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)


May 31, 2019
Gregory Plumb, Maruan Al-Shedivat, Eric Xing, Ameet Talwalkar

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* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1902.06787 

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Regularizing Black-box Models for Improved Interpretability


Feb 18, 2019
Gregory Plumb, Maruan Al-Shedivat, Eric Xing, Ameet Talwalkar

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